• DocumentCode
    2605924
  • Title

    Application of entropy-constrained RVQ to coding image subbands

  • Author

    Kossentini, Faouzi ; Chung, Wilson ; Smith, Mark J T

  • Author_Institution
    Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    1993
  • fDate
    3-6 May 1993
  • Firstpage
    683
  • Abstract
    A recent study on the application of entropy constrained residual vector quantization (EC-RVQ) to subband image coding is discussed. The newly introduced EC-RVQ has produced excellent performance results when applied directly to coding images, and is also more cost efficient than competing vector quantization (VQ) methods which have so far been reported in the literature. Experimental results show that subband coding with EC-RVQ performs very well, and place it among the best techniques presently available in terms of performance. A discussion of the new system is given, and some performance comparisons are presented
  • Keywords
    entropy codes; image coding; vector quantisation; entropy-constrained RVQ; image coding; image subbands; performance comparisons; residual vector quantization; subband coding; Arithmetic; Computational complexity; Contracts; Costs; Entropy coding; Image coding; PSNR; Paper technology; Transform coding; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7803-1281-3
  • Type

    conf

  • DOI
    10.1109/ISCAS.1993.393813
  • Filename
    393813